Samuel James Eadie

Title: Samuel James Eadie: Innovator in Neural Network Filtering

Introduction

Samuel James Eadie is a notable inventor based in Munich, Germany. He has made significant contributions to the field of video data processing through his innovative patent. His work focuses on reducing complexity in multi-mode neural network filtering, which has implications for various applications in technology.

Latest Patents

Eadie holds a patent for "Reduced complexity multi-mode neural network filtering of video data." This patent describes a device that includes a memory configured to store video data and a processing system comprising one or more processors implemented in circuitry. The processing system is designed to apply neural network processing blocks to intermediate filtered video data, utilizing a combination of convolutional filters and a parametric rectified linear unit (PReLU) filter. The output is a refined version of the filtered video data, showcasing Eadie's innovative approach to video processing.

Career Highlights

Samuel James Eadie is currently employed at Qualcomm Incorporated, a leading company in the field of telecommunications and semiconductor technology. His role at Qualcomm allows him to work on cutting-edge technologies that push the boundaries of video data processing and neural networks.

Collaborations

Eadie collaborates with talented individuals in his field, including Hongtao Wang and Muhammed Zeyd Coban. These collaborations enhance the innovative potential of his projects and contribute to advancements in technology.

Conclusion

Samuel James Eadie is a prominent inventor whose work in neural network filtering has the potential to transform video data processing. His contributions at Qualcomm Incorporated and his innovative patent reflect his commitment to advancing technology in meaningful ways.